Abstract
In this study, we investigated whether regional distribution of white matter (WM) lesions, normal-appearing [NA] WM microstructural abnormalities and gray matter (GM) atrophy may differently contribute to cognitive performance in multiple sclerosis (MS) patients according to sex. Using the same scanner, brain 3.0T MRI was acquired for 287 MS patients (females = 173; mean age = 42.1 [standard deviation, SD = 12.7] years; relapsing-remitting = 196, progressive = 91; median Expanded Disability Status Scale = 2.5 [interquartile range, IQR = 1.5–5.0]; median disease duration = 12.1 [IQR = 6.3–19.0] years; treatment: none = 70, first-line = 130, second-line = 87) and 172 healthy controls (HC) (females = 92; mean age = 39.3 [SD = 14.8] years). MS patients underwent also Rao’s neuropsychological battery. Using voxel-wise analyses, we investigated in patients sex-related differences in the association of cognitive performances with WM lesions, NAWM fractional anisotropy (FA) and GM volumes (p < 0.01, family-wise error [FWE]). Sixty-six female (38%) and 48 male (42%) MS patients were cognitively impaired, with no significant between-group difference (p = 0.704). However, verbal memory performance was worse in males (p = 0.001), whereas verbal fluency performance was worse in females (p = 0.004). In both sexes, a higher T2-hyperintense lesion prevalence in cognitively-relevant WM tracts was significantly associated with worse cognitive performance (p ≤ 0.006), with stronger associations in females than males in global cognition (p ≤ 0.004). Compared to sex-matched HC, male and female MS patients had widespread lower NAWM FA and GM volume (p < 0.01). In both sexes, worse cognitive performance was associated with widespread reduced NAWM FA (p < 0.01), with stronger associations in females than males in global cognition and verbal memory (p ≤ 0.009). Worse cognitive performance was significantly associated with clusters of cortical GM atrophy in males (p ≤ 0.007) and mainly with deep GM atrophy in females (p ≤ 0.006). In this study, only limited differences in cognitive performances were found between male and female MS patients. A disconnection syndrome due to focal WM lesions and diffuse NAWM microstructural abnormalities seems to be more relevant in female MS patients to explain cognitive impairment.
Similar content being viewed by others
Introduction
Sex differences are observed at several biologic levels, such as in brain anatomy and functioning, behavior, and susceptibility to neuropsychiatric or neurological disorders [1,2,3].
Due to the role played by biological sex in the anatomy, function and pathology of the human brain, the evaluation of its impact may provide valuable insights into the pathophysiological processes and progression of several neurological diseases.
Multiple sclerosis (MS) is the most common chronic, inflammatory, demyelinating and neurodegenerative disease of the CNS [4] that is characterized by heterogeneous incidence, prevalence, disease course, severity, and prognosis according to sex [5]. Females have a two to three times higher incidence and prevalence of the disease, a higher relapse rate throughout the disease and experience more frequently sensory symptoms [5]. Conversely, male MS patients present more frequently motor symptoms, and generally show a worse prognosis since their disease course is more frequently progressive, rapidly-evolving and characterized by more severe evolution [6] and disability accumulation [4,5,6]. No clear sex-based differences in response to disease modifying therapies (DMTs) have been documented, since most of DMT trials in MS have been conducted without sex-specific analyses of efficacy or adverse events. Some studies have occasionally shown sex-specific differences in the effects of DMTs. However, the limitation of the subgroup analysis design made it difficult to draw conclusions about the direction or magnitude of effect based on sex [7, 8].
In addition to clinical differences, pathophysiological processes underlying the sex-related differences in MS patients were also investigated using different MRI measures. Female MS patients showed a higher number of gadolinium-enhancing lesions [6, 9] and more significant white matter (WM) atrophy [10], suggesting a more inflammatory disease. Conversely, neurodegenerative processes seem to be more substantial in male MS patients, since they showed a significantly higher prevalence of T1-hypointense [9] and cortical lesions [11], more extensive and severe WM microstructural abnormalities [12] as well as global [12, 13] and gray matter (GM) atrophy [10, 12, 13], especially of deep GM nuclei [13].
Cognitive impairment is a frequent clinical manifestation in MS, with prevalence ranging between 40 to 70% [14, 15], involves several domains, occurs from the earliest phases of the disease, and becomes more prevalent and severe in progressive MS patients [14, 15]. Sex may influence also cognitive functions in MS [12, 13, 16,17,18,19,20,21]. Compared to females, male MS patients seem to be more impaired on several cognitive domains, including verbal memory [12, 13, 16, 17, 19], executive functions [12, 13, 18], attention [19], memory [12, 13, 17], visuospatial processing [17, 19], and information processing speed [12, 13, 19].
Differences of structural brain damage between female and male MS patients have been considered to explain sex-related differences in cognitive performances, although with conflicting findings [6, 9,10,11,12,13, 19, 22,23,24,25]. So far, more severe normal-appearing [NA] WM microstructural abnormalities [12] and subcortical GM atrophy [13] in male compared to female MS patients have been suggested as two relevant pathological substrates contributing to sex-related differences in cognitive impairment in MS. However, these results were not confirmed by other studies, possibly due to heterogeneities of the MS cohorts studied, neuropsychological tests administered, criteria applied to define cognitive impairment and MRI analyses performed [10, 22,23,24,25].
A multiparametric MRI approach is likely to improve our understanding of the underlying pathological substrates of sex-related cognitive differences in MS patients. To this aim, we explored whether differences in the regional distribution of focal WM lesions, NAWM microstructural abnormalities and GM atrophy may explain sex-related differences of cognitive performances in a large and well-characterized cohort of MS patients.
Materials and methods
Standard protocol approvals, registrations, and patient consents
Approval was received from the institutional ethical standards committee on human experimentation of IRCCS Ospedale San Raffaele for any experiments using human subjects (Protocol N° 2009-74). Written informed consent was obtained from all subjects prior to study participation according to the Declaration of Helsinki.
Subjects
From the database of Neuroimaging Research Unit, IRCCS San Raffaele Scientific Institute (Milan, Italy), we retrospectively selected 287 consecutive MS patients (173 females, 114 males). To be included, patients had to be ≥18 years old, have a diagnosis of MS according to the 2017 revised McDonald criteria, had to be relapse- and steroid-free for at least 3 months before study entry, have no significant neurological (other than MS) or psychiatric condition that could interfere with cognitive functioning, and have a stable treatment for MS from at least 6 months. In addition, 172 healthy controls (HC) (92 females, 80 males), who underwent the same MRI protocol, and had no neurological diseases or systemic disorders potentially affecting the central nervous system and a completely normal examination were selected.
Clinical and neuropsychological assessment
On the day of MRI acquisition, all MS patients underwent a complete neurological examination, with rating of the Expanded Disability Status Scale (EDSS) and a neuropsychological evaluation using the Brief Repeatable Battery of Neuropsychological Tests (BRB-N) [26]. In particular, we used the Selective Reminding Test to assess verbal memory, the 10/36 Spatial Recall Test to assess visual memory, the Symbol Digit Modalities Test and the Paced Auditory Serial Addition Test 2” and 3” to assess information processing speed (IPS)/attention, and the Word List Generation to assess verbal fluency. Z-scores for all BRB-N tests were calculated using sex-, age- and education-adjusted regression models according to the normative data from an Italian representative sample [27]. Then z-scores for specific cognitive domains were quantified by averaging z-scores of tests belonging to the previous cognitive domains, as previously described [28]. Finally, z-scores of global cognitive functions (obtained by averaging z-scores of cognitive domains) were quantified [28]. Test failure was defined as a score below the fifth percentile of normative values [29]. Impairment in a cognitive domain was defined as failure in at least one test of BRB-N assessing that domain and cognitive impairment was defined as impairment in at least two cognitive domains [29].
MRI acquisition
Using the same 3.0 Tesla Philips Intera scanner (Philips Medical Systems, The Netherlands), the following sequences of the brain were acquired from all subjects during a single session: (a) dual-echo (DE) turbo spin echo (TSE) (TR/TE = 2599/16–80 ms; flip angle = 90°; FOV = 240 mm2; matrix = 256 × 256; echo train length = 6; slice thickness = 3 mm, 44 contiguous axial slices); (b) 3D T1-weighted fast field echo (FFE) (TR/TE = 25/4.6 ms, flip angle = 30°, FOV = 230 mm2, matrix = 256 × 256, slice thickness = 0.9 mm, 220 contiguous axial slices, in-plane resolution = 0.89 × 0.89 mm2); (c) pulsed-gradient spin echo EPI (TR/TE = 8938/58 ms, acquisition matrix = 112 × 88, FOV = 240 × 231 mm2, slice thickness = 2.3 mm, 55 contiguous axial slices) with SENSE (acceleration factor = 2) and diffusion gradients applied in 35 non-collinear directions. Two optimized b factors were used: b1 = 0, b2 = 900 s/mm2. The slices of all the scans were positioned to run parallel to a line that joints the most infero-anterior and infero-posterior parts of the corpus callosum.
Conventional MRI analysis
T2-hyperintense white matter (WM) lesion volumes (LV) were quantified on DE sequence using a local thresholding segmentation technique (Jim 7.0, Xinapse Systems Ltd, Colchester, UK) [30, 31]. After T1-hypointense lesion refilling, normalized brain volume (NBV), GM volume (NGMV) and WM volume (NWMV) were calculated on 3D T1-weighted images using the SIENAx software.
T2-hyperintense WM lesion probability maps
For each MS patient, binarized masks of T2-hyperintense WM lesions were obtained, rigidly co-registered to the 3D T1-weighted scans and normalized to the standard space (using the Diffeomorphic Anatomical Registration using Exponentiated Lie algebra [DARTEL] non-linear transformation). Finally, they were smoothed with an 8-mm Gaussian kernel and averaged to obtain T2 lesion probability maps (LPM).
Diffusion-weighted MRI analysis
Diffusion-weighted images were first corrected for distortions caused by eddy currents and for subject’s movement (http://web.stanford.edu/group/vista/cgi-bin/wiki/index.php/DTI_Preprocessing#dtiRaw_Preprocessing_Pipeline) [32]. In details, we applied an algorithm that combines 3D rigid transformation for motion correction with a constrained non-linear warping for eddy-current distortions. The Rohde model parameters are estimated by maximizing the normalized mutual information between each diffusion-weighted image and the non-diffusion weighted image mean. Then, using the FMRIB’s Diffusion Toolbox (FDT tool, FSL 5.0.5), the diffusion tensor was estimated in each voxel by linear regression and fractional anisotropy (FA) maps were obtained.
Tract-based spatial statistics (TBSS) analysis was used to perform a voxel-wise analysis of the whole-brain WM FA (http://www.fmrib.ox.ac.uk/fsl/tbss/index.html/). Individual FA images were non-linearly registered to the FMRIB58_FA atlas provided within FSL and averaged to obtain a customized atlas. Then, the resulting FA atlas was thinned to create a WM tract ‘skeleton’, which was thresholded at a FA > 0.2 to include WM voxels only. Individual-subject’ FA values were projected onto this group skeleton by searching perpendicular from the skeleton for maximum FA values. Maximum FA values were chosen to restrict analysis to the center of WM tracts (where maximum FA values are found), rather than considering voxels at the edge of tracts, which may suffer from partial volume effects.
Voxel-based morphometry analysis
Voxel-based morphometry (VBM) and DARTEL, as implemented in SPM12 (www.fil.ion.ucl.ac.uk/spm/), were used to map regional GM volume differences among study groups. The lesion-filled 3D T1-weighted images were used for a group-wise alignment. First, the images were segmented into the different tissues using the standard segmentation procedure of SPM12. Then, the segmented GM and WM images of all subjects were used to create GM and WM templates. At each iteration, the deformations calculated using the DARTEL registration method were applied to GM and WM with an increasingly good alignment of subject morphology, to produce templates. Finally, an affine transformation was computed that maps from the population GM template to the MNI space. GM maps were spatially warped, modulated and smoothed with an 8 mm Gaussian kernel.
Statistical analysis
Demographic and clinical data were compared between groups, according to sex (female and male) and the disease status (HC and MS), using chi-square, two-sample t, or Mann-Whitney test. Sex-related differences in MS patients’ cognitive performances were assessed by comparing z-scores, at test, domain and global level, with two-sample t-tests. Prevalences of cognitive impairment were also reported. Age-adjusted linear models for heteroscedastic data were applied to analyze conventional MRI variables (i.e., brain T2-hyperintense WM LV and global volumetric measures). Brain T2-hyperintense WM LV were log-transformed. False discovery rate (Benjamini–Hochberg procedure) correction was carried out to take into account the overall number of tests performed. A p < 0.05 was considered statistically significant.
Voxel-wise differences in T2-LPMs, NAWM FA values (TBSS), and regional GM volumes (VBM) according to sex, disease status, and their interaction were explored using age-adjusted linear models. Voxel-wise associations of MRI variables with cognitive performances (global and cognitive domain z-scores) in female and male MS patients were investigated by age-adjusted linear models. Sex-related differences of association were also tested. T2-hyperintense WM lesion masks was also included as voxel-wise covariate in TBSS analyses to focus only on NAWM, whereas the inverse SIENAX v-scaling factor was included as additional covariate in GM volume analyses to correct for head-size.
For WM lesions and GM volumes, the above-described analyses were conducted using SPM12 (http://www.fil.ion.ucl.ac.uk/spm/software/spm12/). Inclusion masks obtained from the WM (for lesions analyses) or GM (for GM volumes analyses) DARTEL templates, transformed to the MNI space, smoothed and thresholded at 0.25, were applied. For TBSS data, a permutation method (FSL 6.0.1 “Randomise” program) was used with 5000 permutations.
Results of voxel-wise analyses were assessed at p < 0.01 (family-wise error [FWE]-corrected for multiple comparisons). Moreover, for T2-LPMs and VBM analyses a cluster extension (kE) threshold of 10 voxels was applied.
Results
Demographic, clinical and conventional MRI measures
Male HC had significantly lower NBV (p < 0.001) and NGMV (p < 0.001) compared to female HC. Female and male MS patients had significantly lower years of education, NBV, NGMV and NWMV and higher T2-hyperintense WM LV compared to female and male HC (all p ≤ 0.029) (Table 1). Female MS patients had significant lower years of education compared to male MS patients (p = 0.043).
Seventy MS patients received no DMT (female MS patients = 45/173 [26%]; male MS patients = 25/114 [22%]), 130 MS patients received first-line DMTs (female MS patients = 73/173 [42%]; male MS patients = 57/114 [50%]) and 87 MS patients received second-line DMTs (female MS patients = 55/173 [32%]; male MS patients = 32/114 [28%]), with no between-group differences (p = 0.422) (Table 1).
Neuropsychological findings
Table 2 summarizes the results of cognitive assessment in MS patients according to sex. Sixty-six female (38%) and 48 male (42%) MS patients were cognitively impaired, with no significant between-group difference in the prevalence of cognitive impairment (p = 0.704). The prevalence of impairment in each cognitive domain was similar between female and male MS patients. However, for verbal memory, a higher prevalence of impairment (p = 0.008) and worse performance (p = 0.001) were found in male compared to female MS patients. Conversely, females performed significantly worse than males in verbal fluency (p = 0.004). No significant differences were found between female and male MS patients in z-scores of global cognitive functions, visual memory, and IPS/attention (all p ≥ 0.289).
T2-hyperintense WM LPMs
T2-hyperintense WM lesions were mostly located in the bilateral corona radiata and periventricular WM, with no significant differences between female and male MS patients (Fig. 1A).
Significant correlations were found between the frequency of T2-hyperintense WM lesions in clinically-relevant WM tracts and worse cognitive performances. Specifically, in female MS patients, a higher frequency of T2-hyperintense WM lesions in the corpus callosum, corona radiata, bilateral anterior thalamic radiation (ATR), forceps major, bilateral superior longitudinal fasciculi (SLF), bilateral inferior longitudinal fasciculi (ILF) and bilateral inferior fronto-occipital fasciculi (IFOF) was significantly associated with worse performances in global cognitive function as well as in each cognitive domain explored, except for verbal fluency (all p ≤ 0.006) (Fig. 1B). Conversely, in male MS patients a higher frequency of T2-hyperintense WM lesions in corpus callosum, bilateral ILF and IFOF, left ATR and forceps major was significantly associated with worse performance in global cognitive functions, verbal memory and IPS/attention (all p ≤ 0.006), with no associations found in visual memory and verbal fluency. A stronger association between T2-hyperintense WM lesions in left ATR (p = 0.002) and SLF (p = 0.004) with worse performance in global cognitive functions was found in female compared to male MS patients (Fig. 1B).
WM microstructural abnormalities
In HC, no significant differences in NAWM FA values between females and males were found. Compared to sex-matched HC, male and female MS patients showed significantly lower NAWM FA values in the majority of brain WM tracts (for both female and male MS patients all p < 0.01) (Fig. 2A). A significant interaction between sex and disease was found, with a larger effect of MS on lowering NAWM FA values in left cingulum, SLF, anterior and superior corona radiata and body of corpus callosum occurring in females compared to males (all p < 0.01) (Fig. 2A).
Significant positive associations were found between cognitive performances and NAWM FA values in both female and male MS patients, with some differences. In female MS patients, widespread lower NAWM FA values were significantly associated with worse performances in global cognitive functions as well as in each cognitive domain explored (all p < 0.01). In male MS patients, significant associations were found between lower NAWM FA values in the majority of WM tracts and worse performances only in global cognitive functions and in IPS/attention (all p < 0.01) (Fig. 2B). A stronger association between lower NAWM FA values in forceps minor and genu of corpus callosum and worse global cognitive performance (all p < 0.01) as well as between lower NAWM FA values in forceps major, splenium of corpus callosum, right SLF and worse verbal memory performance (all p ≤ 0.007) were found in female compared to male MS patients (Fig. 2B).
GM atrophy
In HC, males showed a significantly lower GM volume in clusters localized in right postcentral gyrus, left rectus gyrus, left rolandic operculum and left anterior cingulum gyrus compared to females (all p ≤ 0.005) (Fig. 3A). Female and male MS patients showed a significant widespread GM atrophy compared to sex-matched HC (for female MS patients all p ≤ 0.008; for male MS patients all p ≤ 0.001) (Fig. 3A). No significant interaction between sex and disease was found.
In MS patients, several positive associations between regional GM volumes and cognitive performances were found. Specifically, in female MS patients worse performance in global cognitive functions and IPS/attention was associated with lower GM volumes in fronto-parietal lobes, insula, hippocampus, cingulate cortex, and deep GM (all p ≤ 0.003). Worse verbal and visual memory performance was associated with lower hippocampal and deep GM volumes (all p ≤ 0.006) (Fig. 3B). In male MS patients, a lower GM volume in bilateral temporal lobes, middle cingulate cortex and hippocampus, left precuneus, left posterior cingulate cortex was significantly associated with worse performances in global cognitive functions as well as in each cognitive domain explored (all p ≤ 0.007) (Fig. 3B). No association between performance in verbal fluency and regional GM volume was found for either female or male MS patients. No significant sex-related differences of associations between regional GM atrophy and cognitive performances were found.
Discussion
By evaluating a large and well-characterized cohort of MS patients, no significant sex-related differences in global cognitive functions nor in the prevalence of being cognitively impaired were found, whereas verbal memory performance was worse in male MS patients and verbal fluency performance was worse in female MS patients. Focal WM T2-hyperintense lesions, NAWM microstructural abnormalities and GM atrophy contributed to explain cognitive dysfunction in both male and female MS patients, with some sex-related differences. Worse cognitive performance was more strongly associated with focal WM lesions and NAWM microstructural abnormalities in female MS patients. Deep GM volume loss seemed to be associated with worse cognitive performances especially in female MS patients, whereas, in male MS patients, cortical GM volume loss was associated with worse cognitive performances, although without significant between-group differences.
In our cohort, a substantial proportion of MS patients (38% of females and 42% of males) were cognitively impaired, but no significant between-group differences were found regarding the prevalence of impairment nor the global cognitive performance. This proportion is slightly lower than that reported in literature [14]. However, there is no unambiguous criterion to define cognitive impairment in MS patients, and this causes great variance between different studies [15]. Since neural correlates are likely to differ across specific cognitive domains [15], we decided to use criteria that are more conservative but at the same time more focused on separate cognitive domains to define cognitive impairment [29].
The possible influence of sex on cognitive impairment in MS is still a matter of investigation [12, 13, 16,17,18,19,20,21]. Previous studies suggested that male MS patients may be characterized by more prevalent and severe cognitive impairment [13, 16,17,18,19], but with heterogeneous and conflicting findings. Worse cognitive performance in male MS patients has been frequently found compared to HC, but more rarely directly to female MS patients [12]. Moreover, cognitive performance has been frequently compared in a limited subset of neuropsychological tests or cognitive domains, whereas, global cognitive performance was explored only in a few studies [12, 13], where female MS group showed little [12] or no significant cognitive dysfunction [13]. These conflicting findings may be explained by heterogeneities of the MS cohorts studied (i.e., severity of clinical disability, proportion of different clinical phenotypes, and disease duration), neuropsychological tests administered, and criteria applied to define cognitive impairment [10, 22,23,24,25].
MS cohort showed that IPS/attention and verbal memory were the most frequent impaired domains, confirming that these cognitive deficits are the most common dysfunction in MS patients of both sexes [14, 15]. Male MS patients showed worse performance and a significantly higher prevalence of impairment in verbal memory. Our results are consistent with previous studies that showed a significant frailty in verbal memory abilities in male compared to female MS patients [12, 13, 16]. On the other hand, unexpectedly, female MS patients showed worse performance in verbal fluency, although without differences with male MS patients in the prevalence of being impaired. Verbal abilities has been found to favor females [16, 33, 34]. Even though the association between brain structural damage and verbal fluency was not significantly different according to sex, it is tempting to speculate that in females this domain may be particularly vulnerable or more sensitive to the accumulation of MS-related structural damage. Clearly, further studies are necessary to confirm our results.
In MS patients of both sexes, worse cognitive performance was associated with a higher prevalence of focal T2-hyperintense WM lesions in several cognitively-relevant WM tracts, such as ATR, forceps minor/major, SLF, ILF and IFOF. The severity of damage within focal T2-hyperintense lesions may also contribute to the disruption of critical WM pathways by anterograde/trans-synaptic degeneration secondary to axonal transection [35]. Thus, damage of these WM tracts, connect cortico-subcortical GM structures and are involved in several cognitive functions, has been consistently associated with worse cognitive performances in MS [12, 35,36,37,38,39,40,41,42,43]. Our findings support the role of a disconnection syndrome as one relevant pathological mechanisms of cognitive impairment in these patients.
When we explored sex-related differences in the strength of associations, focal T2-hyperintense WM lesions in left ATR and SLF were found to be more associated with worse global cognitive functions in female compared to male MS patients. These results suggest a more relevant contribution of focal inflammatory demyelinating lesions to worse cognitive performance in female MS patients, possibly due to sex-related differences in the immune-pathophysiology of the disease and due to the different effects of sex hormones in males and females [5, 6, 9, 44].
The analysis of NAWM microstructural abnormalities showed lower FA values in the majority of WM tracts in both female and male MS patients compared to their sex-matched HC. The interaction between sex and disease showed that the effect of MS in determining NAWM microstructural abnormalities may be more relevant in females compared to males.
In both female and males MS patients, lower FA values in the majority of WM tracts were significantly associated with worse performance in global cognitive functions and in each cognitive domain explored for females MS patients, whereas only in global cognitive functions and IPS/attention for male MS patients. These results confirm that diffuse NAWM damage may also undermine the physiological connections among cognitively relevant GM regions [12, 14, 36, 37, 39, 45, 46], explaining cognitive deficits in MS patients of both sexes. Interestingly, a stronger association between lower FA values in several WM tracts and global cognitive function and verbal memory performance was found again in female compared to male MS patients. This result further supports the hypothesis that pathological processes that affect the NAWM, including inflammation, with an increased density of activated microglia and lymphocytes, demyelination, astrogliosis and axonal damage, may contribute to cognitive impairment in female more than in male MS patients [5, 6, 9, 44].
Our results seem conflicting with previous findings showing no sex-related differences [10] or more severe microstructural abnormalities in male compared to female MS patients [12]. However, one study did not evaluate brain diffusivity abnormalities at a voxel-level [10], whereas another [12] explored sex-related microstructural abnormalities in a cohort mainly including relapsing-remitting MS patients, with mild disability and short disease duration. Accordingly, it could be possible that, in the early phases of the disease, WM diffusivity abnormalities may be more severe in male compared to female MS patients [12]. Conversely, in MS patients with different clinical phenotypes, longer disease duration and more severe disability, the inflammatory pathophysiological processes characterizing female more than male MS patients become more evident.
Regarding regional GM volume, the VBM analysis revealed that male HC showed significantly lower NGMV and lower GM volumes in frontal regions compared to female HC. Nevertheless, such findings are debated since other studies found higher GM volumes in males [10]. The evaluation of heterogeneous HC cohorts, the adjustment for different covariates (intracranial volume, height and weight), and the evaluation of different GM measures (i.e., global or regional GM volumes, percentage of GM volume, cortical thickness) may explain discrepancies among studies [3, 47, 48].
As expected, MS patients of both sexes showed a widespread pattern of GM atrophy compared to sex-matched HC. However, the analysis of interaction between sex and disease showed that no voxel was statistically significant. In both male and female MS patients, worse cognitive performances, except for verbal fluency, was significantly associated with lower GM volume in several cortico-subcortical GM regions, confirming the relevance of atrophy in cognitively-relevant GM regions as another relevant contributor of cognitive impairment in both female and male MS patients [13, 37, 38, 49, 50]. Specifically, our results supported the relevance of deep GM, hippocampus, and other cognitively relevant cortical regions of fronto-temporo-parietal lobes in explaining cognitive dysfunction in MS patients [37, 49,50,51,52,53,54]. Notably, although no significant sex-related differences of associations between regional GM atrophy and cognitive performance were found, worse cognitive performance seemed to be associated mainly with deep GM volume loss in female MS patients, and with cortical GM volume loss in male MS patients. Although further studies are needed to confirm our findings, it is tempting to speculate that, at least in our cohort of MS patients, a more inflammatory pathophysiology affecting WM tracts of female MS patients may promote a cognitively-relevant deep GM atrophy. Conversely, primary damage of cortices involved in cognitive functions may be a relevant contributor of worse cognitive performances in male MS patients.
Our results seem in contrast with previous studies investigating sex-related differences in regional GM volume that found more severe GM atrophy in males, compared to female MS patients [12, 13] especially affecting the deep GM [12]. However, again, the studies mainly focused on a cohort of mainly early relapsing-remittent MS patients, with a short disease duration and mild disability. The more severe abnormalities found in the early stages of the disease on diffusion metrics in male MS patients [12] may also explain the sex-related differences in regional GM volume found, particularly with regard to deep GM volume. This would be in line with several studies showing an early occurrence of deep GM atrophy as a consequence of the occurrence of focal T2-hyperintense WM lesions and microstructural NAWM damage, due to the central and highly connected nature of these regions [55,56,57]. Conversely, the cohort of MS patients evaluated in our study is characterized by a more long-standing disease course. Accordingly, a possible sex effect that is present in the early phases of disease may be less evident, whereas a more prominent role of cortical atrophy in determining cognitive impairment may emerge [50].
Our study is not without limitations. Cortical lesions have been associated with cognitive deficits in MS patients, but specific MRI sequences for their quantification were not available in our cohort of MS patients. The cross-sectional setting of this study did not allow to explore the contribution of the pathological substrates to cognitive impairment according to sex in the different phases of the disease. Levels of sex hormones were not available, thus we could not explore their influence in the associations between cognitive functions and brain structural damage. The four groups evaluated in the present study differed on some clinical (i.e., educational level) and volumetric MRI variables, which may also contribute to the results obtained. Further studies are needed to confirm that our results are not specific for the population of the present study. Moreover, our HC did not perform neuropsychological assessment, thus further studies are needed to confirm that the results of the present study are MS-specific. However, it should be noted that we corrected and standardized the MS patients’ cognitive scores according to Italian normative data, calculated on a relevant cohort (n = 200) of healthy controls [27]. Finally, BRB-N did not have test assessing social cognition, thus further studies are needed to evaluate this understudied cognitive function in MS and assess if sex-related differences may occur.
In conclusion, in this well-characterized cohort of male and female MS patients the prevalence and severity of cognitive impairment are similar, with only limited sex-related differences in the involvement of specific cognitive domains. In MS patients of both sexes, focal WM lesions, NAWM microstructural abnormalities, and GM volume loss are relevant contributors of cognitive impairment. However, sex influences patterns of NAWM microstructural abnormalities and associations between focal T2-hyperintense WM lesions, NAWM microstructural abnormalities, and cognitive performance. Specifically, a disconnection syndrome caused by the accumulation of focal T2-hyperintense WM lesions and NAWM microstructural abnormalities may be more relevant in female MS patients to explain cognitive impairment.
Data availability
The anonymized dataset used and analyzed during the current study is available from the corresponding author upon reasonable request.
References
Gong G, He Y, Evans AC. Brain connectivity: gender makes a difference. Neuroscientist 2011;17:575–91.
Menzler K, Belke M, Wehrmann E, Krakow K, Lengler U, Jansen A, et al. Men and women are different: diffusion tensor imaging reveals sexual dimorphism in the microstructure of the thalamus, corpus callosum, and cingulum. Neuroimage 2011;54:2557–62.
Cosgrove KP, Mazure CM, Staley JK. Evolving knowledge of sex differences in brain structure, function, and chemistry. Biol Psychiatry. 2007;62:847–55.
Filippi M, Bar-Or A, Piehl F, Preziosa P, Solari A, Vukusic S, et al. Multiple sclerosis. Nat Rev Dis Prim. 2018;4:43.
Gilli F, DiSano KD, Pachner AR. SeXX matters in multiple sclerosis. Front Neurol. 2020;11:616.
Tomassini V, Pozzilli C. Sex hormones, brain damage and clinical course of Multiple Sclerosis. J Neurol Sci. 2009;286:35–9.
Li R, Sun X, Shu Y, Mao Z, Xiao L, Qiu W, et al. Sex differences in outcomes of disease-modifying treatments for multiple sclerosis: A systematic review. Mult Scler Relat Disord. 2017;12:23–8.
Houtchens MK, Bove R. A case for gender-based approach to multiple sclerosis therapeutics. Front Neuroendocrinol. 2018;50:123–34.
Pozzilli C, Tomassini V, Marinelli F, Paolillo A, Gasperini C, Bastianello S. ‘Gender gap’ in multiple sclerosis: magnetic resonance imaging evidence. Eur J Neurol. 2003;10:95–7.
Antulov R, Weinstock-Guttman B, Cox JL, Hussein S, Durfee J, Caiola C, et al. Gender-related differences in MS: a study of conventional and nonconventional MRI measures. Mult Scler J. 2009;15:345–54.
Calabrese M, De Stefano N, Atzori M, Bernardi V, Mattisi I, Barachino L, et al. Detection of cortical inflammatory lesions by double inversion recovery magnetic resonance imaging in patients with multiple sclerosis. Arch Neurol. 2007;64:1416–22.
Schoonheim MM, Vigeveno RM, Rueda Lopes FC, Pouwels PJ, Polman CH, Barkhof F, et al. Sex-specific extent and severity of white matter damage in multiple sclerosis: implications for cognitive decline. Hum Brain Mapp. 2014;35:2348–58.
Schoonheim MM, Popescu V, Rueda Lopes FC, Wiebenga OT, Vrenken H, Douw L, et al. Subcortical atrophy and cognition: sex effects in multiple sclerosis. Neurology 2012;79:1754–61.
Rocca MA, Amato MP, De Stefano N, Enzinger C, Geurts JJ, Penner IK, et al. Clinical and imaging assessment of cognitive dysfunction in multiple sclerosis. Lancet Neurol. 2015;14:302–17.
Sumowski JF, Benedict RHB, Enzinger C, Filippi M, Geurts JJ, Hamalainen P, et al. Cognition in multiple sclerosis. Neurology 2018;90:278–88.
Donaldson E, Patel VP, Shammi P, Feinstein A. Why sex matters: a cognitive study of people with multiple sclerosis. Cogn Behav Neurol. 2019;32:39–45.
Beatty WW, Aupperle RL. Sex differences in cognitive impairment in multiple sclerosis. Clin Neuropsychol. 2002;16:472–80.
Lin SJ, Lam J, Beveridge S, Vavasour I, Traboulsee A, Li DKB, et al. Cognitive performance in subjects with multiple sclerosis is robustly influenced by gender in canonical-correlation. Anal J Neuropsychol Clin N. 2017;29:119–27.
Schoonheim MM, Hulst HE, Landi D, Ciccarelli O, Roosendaal SD, Sanz-Arigita EJ, et al. Gender-related differences in functional connectivity in multiple sclerosis. Mult Scler J. 2012;18:164–73.
Koenig KA, Lowe MJ, Lin J, Sakaie KE, Stone L, Bermel RA, et al. Sex differences in resting-state functional connectivity in multiple sclerosis. Am J Neuroradiol. 2013;34:2304–11.
Savettieri G, Messina D, Andreoli V, Bonavita S, Caltagirone C, Cittadella R, et al. Gender-related effect of clinical and genetic variables on the cognitive impairment in multiple sclerosis. J Neurol. 2004;251:1208–14.
Dolezal O, Gabelic T, Horakova D, Bergsland N, Dwyer MG, Seidl Z, et al. Development of gray matter atrophy in relapsing-remitting multiple sclerosis is not gender dependent: results of a 5-year follow-up study. Clin Neurol Neurosurg. 2013;115:S42–8.
Fazekas F, Enzinger C, Wallner-Blazek M, Ropele S, Pluta-Fuerst A, Fuchs S. Gender differences in MRI studies on multiple sclerosis. J Neurol Sci. 2009;286:28–30.
Giorgio A, Battaglini M, Smith SM, De Stefano N. Brain atrophy assessment in multiple sclerosis: importance and limitations. Neuroimaging Clin N. Am. 2008;18:675–86.
Li DK, Held U, Petkau J, Daumer M, Barkhof F, Fazekas F, et al. MRI T2 lesion burden in multiple sclerosis: a plateauing relationship with clinical disability. Neurology 2006;66:1384–9.
Rao SM, and the Cognitive Function Study Group of the National Multiple Sclerosis Society. A manual for the brief repeatable battery of neuropsychological test in multiple sclerosis. 1990, Milwaukee, WI: Medical College of Wisconsin
Amato MP, Portaccio E, Goretti B, Zipoli V, Ricchiuti L, De Caro MF, et al. The Rao’s Brief Repeatable Battery and Stroop Test: normative values with age, education and gender corrections in an Italian population. Mult Scler J. 2006;12:787–93.
Sepulcre J, Vanotti S, Hernandez R, Sandoval G, Caceres F, Garcea O, et al. Cognitive impairment in patients with multiple sclerosis using the Brief Repeatable Battery-Neuropsychology test. Mult Scler J. 2006;12:187–95.
Ruano L, Portaccio E, Goretti B, Niccolai C, Severo M, Patti F, et al. Age and disability drive cognitive impairment in multiple sclerosis across disease subtypes. Mult Scler J. 2017;23:1258–67.
Rovaris M, Rocca MA, Sormani MP, Comi G, Filippi M. Reproducibility of brain MRI lesion volume measurements in multiple sclerosis using a local thresholding technique: Effects of formal operator training. Eur Neurol. 1999;41:226–30.
Udupa JK, Wei L, Samarasekera S, Miki Y, vanBuchem MA, Grossman RI. Multiple sclerosis lesion quantification using fuzzy-connectedness principles. IEEE T Med Imaging. 1997;16:598–609.
Rohde GK, Barnett AS, Basser PJ, Marenco S, Pierpaoli C. Comprehensive approach for correction of motion and distortion in diffusion-weighted MRI. Magn Reson Med. 2004;51:103–14.
Scheuringer A, Wittig R, Pletzer B. Sex differences in verbal fluency: the role of strategies and instructions. Cogn Process. 2017;18:407–17.
Gauthier CT, Duyme M, Zanca M, Capron C. Sex and performance level effects on brain activation during a verbal fluency task: a functional magnetic resonance imaging study. Cortex 2009;45:164–76.
Mesaros S, Rocca MA, Kacar K, Kostic J, Copetti M, Stosic-Opincal T, et al. Diffusion tensor MRI tractography and cognitive impairment in multiple sclerosis. Neurology 2012;78:969–75.
Hulst HE, Steenwijk MD, Versteeg A, Pouwels PJ, Vrenken H, Uitdehaag BM, et al. Cognitive impairment in MS: impact of white matter integrity, gray matter volume, and lesions. Neurology 2013;80:1025–32.
Preziosa P, Rocca MA, Pagani E, Stromillo ML, Enzinger C, Gallo A, et al. Structural MRI correlates of cognitive impairment in patients with multiple sclerosis: A Multicenter Study. Hum Brain Mapp. 2016;37:1627–44.
Conti L, Preziosa P, Meani A, Pagani E, Valsasina P, Marchesi O, et al. Unraveling the substrates of cognitive impairment in multiple sclerosis: A multiparametric structural and functional magnetic resonance imaging study. Eur J Neurol. 2021;28:3749–59.
Eijlers AJC, Meijer KA, van Geest Q, Geurts JJG, Schoonheim MM. Determinants of cognitive impairment in patients with multiple sclerosis with and without atrophy. Radiology 2018;288:544–51.
Kincses ZT, Ropele S, Jenkinson M, Khalil M, Petrovic K, Loitfelder M, et al. Lesion probability mapping to explain clinical deficits and cognitive performance in multiple sclerosis. Mult Scler J. 2011;17:681–9.
Meijer KA, Muhlert N, Cercignani M, Sethi V, Ron MA, Thompson AJ, et al. White matter tract abnormalities are associated with cognitive dysfunction in secondary progressive multiple sclerosis. Mult Scler J. 2016;22:1429–37.
Rossi F, Giorgio A, Battaglini M, Stromillo ML, Portaccio E, Goretti B, et al. Relevance of brain lesion location to cognition in relapsing multiple sclerosis. PLoS One. 2012;7:e44826.
Gobbi C, Rocca MA, Pagani E, Riccitelli GC, Pravata E, Radaelli M, et al. Forceps minor damage and co-occurrence of depression and fatigue in multiple sclerosis. Mult Scler J. 2014;20:1633–40.
Luchetti S, van Eden CG, Schuurman K, van Strien ME, Swaab DF, Huitinga I. Gender differences in multiple sclerosis: induction of estrogen signaling in male and progesterone signaling in female lesions. J Neuropathol Exp Neurol. 2014;73:123–35.
Dineen RA, Vilisaar J, Hlinka J, Bradshaw CM, Morgan PS, Constantinescu CS, et al. Disconnection as a mechanism for cognitive dysfunction in multiple sclerosis. Brain 2009;132:239–49.
Roosendaal SD, Geurts JJ, Vrenken H, Hulst HE, Cover KS, Castelijns JA, et al. Regional DTI differences in multiple sclerosis patients. Neuroimage 2009;44:1397–403.
Barnes J, Ridgway GR, Bartlett J, Henley SMD, Lehmann M, Hobbs N, et al. Head size, age, and gender adjustment in MRI studies: a necessary nuisance? NeuroImage 2010;53:1244–55.
Buchpiguel M, Rosa P, Squarzoni P, Duran FLS, Tamashiro-Duran JH, Leite CC, et al. Differences in total brain volume between sexes in a cognitively unimpaired elderly population. Clinics 2020;75:e2245.
Schoonheim MM, Hulst HE, Brandt RB, Strik M, Wink AM, Uitdehaag BM, et al. Thalamus structure and function determine severity of cognitive impairment in multiple sclerosis. Neurology 2015;84:776–83.
Eijlers AJC, Dekker I, Steenwijk MD, Meijer KA, Hulst HE, Pouwels PJW, et al. Cortical atrophy accelerates as cognitive decline worsens in multiple sclerosis. Neurology 2019;93:e1348–e59.
Damjanovic D, Valsasina P, Rocca MA, Stromillo ML, Gallo A, Enzinger C, et al. Hippocampal and deep gray matter nuclei atrophy is relevant for explaining cognitive impairment in MS: A multicenter study. Am J Neuroradiol. 2017;38:18–24.
Rocca MA, Absinta M, Amato MP, Moiola L, Ghezzi A, Veggiotti P, et al. Posterior brain damage and cognitive impairment in pediatric multiple sclerosis. Neurology 2014;82:1314–21.
Rocca MA, Barkhof F, De Luca J, Frisen J, Geurts JJG, Hulst HE, et al. The hippocampus in multiple sclerosis. Lancet Neurol. 2018;17:918–26.
Sicotte NL, Kern KC, Giesser BS, Arshanapalli A, Schultz A, Montag M, et al. Regional hippocampal atrophy in multiple sclerosis. Brain 2008;131:1134–41.
Kuceyeski AF, Vargas W, Dayan M, Monohan E, Blackwell C, Raj A, et al. Modeling the Relationship among Gray Matter Atrophy, Abnormalities in Connecting White Matter, and Cognitive Performance in Early Multiple Sclerosis. Am J Neuroradiol. 2015;36:702–9.
Mühlau M, Buck D, Förschler A, Boucard CC, Arsic M, Schmidt P, et al. White-matter lesions drive deep gray-matter atrophy in early multiple sclerosis: support from structural MRI. Mult Scler J. 2013;19:1485–92.
Fuchs TA, Carolus K, Benedict RHB, Bergsland N, Ramasamy D, Jakimovski D, et al. Impact of Focal White Matter Damage on Localized Subcortical Gray Matter Atrophy in Multiple Sclerosis: A 5-Year Study. Am J Neuroradiol. 2018;39:1480–6.
Tremlett H, Paty D, Devonshire V. Disability progression in multiple sclerosis is slower than previously reported. Neurology 2006;66:172–7.
Author information
Authors and Affiliations
Contributions
NT contributed to drafting/revising the manuscript and preparing the figures, and analysis and interpretation of the data. PP contributed to drafting/revising the manuscript and preparing the figures, study concept, and acquisition, analysis, and interpretation of the data. AM, EP, and CV contributed to drafting/revising the manuscript, analysis, and interpretation of the data. MF and MA Rocca contributed to drafting/revising the manuscript, study concept, interpretation of the data, and study supervisor. All the authors gave their approval to the current version of the manuscript.
Corresponding author
Ethics declarations
Competing interests
The authors declare that they have no competing interests in relation to this work. Potential conflicts of interest outside the submitted work are as follows: N. Tedone, A. Meani, E. Pagani, and C. Vizzino have nothing to disclose. P. Preziosa received speaker honoraria from Roche, Biogen, Novartis, Merck Serono, Bristol Myers Squibb and Genzyme. He has received research support from Italian Ministry of Health and Fondazione Italiana Sclerosi Multipla. M. Filippi is Editor-in-Chief of the Journal of Neurology, Associate Editor of Human Brain Mapping, Neurological Sciences, and Radiology; received compensation for consulting services from Alexion, Almirall, Biogen, Merck, Novartis, Roche, Sanofi; speaking activities from Bayer, Biogen, Celgene, Chiesi Italia SpA, Eli Lilly, Genzyme, Janssen, Merck-Serono, Neopharmed Gentili, Novartis, Novo Nordisk, Roche, Sanofi, Takeda, and TEVA; participation in Advisory Boards for Alexion, Biogen, Bristol-Myers Squibb, Merck, Novartis, Roche, Sanofi, Sanofi-Aventis, Sanofi-Genzyme, Takeda; scientific direction of educational events for Biogen, Merck, Roche, Celgene, Bristol-Myers Squibb, Lilly, Novartis, Sanofi-Genzyme; he receives research support from Biogen Idec, Merck-Serono, Novartis, Roche, Italian Ministry of Health, Fondazione Italiana Sclerosi Multipla, and ARiSLA (Fondazione Italiana di Ricerca per la SLA). M.A. Rocca received consulting fees from Biogen, Bristol Myers Squibb, Eli Lilly, Janssen, Roche; and speaker honoraria from AstraZaneca, Biogen, Bristol Myers Squibb, Bromatech, Celgene, Genzyme, Horizon Therapeutics Italy, Merck Serono SpA, Novartis, Roche, Sanofi and Teva. She receives research support from the MS Society of Canada, the Italian Ministry of Health, and Fondazione Italiana Sclerosi Multipla. She is Associate Editor for Multiple Sclerosis and Related Disorders.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Tedone, N., Preziosa, P., Meani, A. et al. Regional white matter and gray matter damage and cognitive performances in multiple sclerosis according to sex. Mol Psychiatry 28, 1783–1792 (2023). https://doi.org/10.1038/s41380-023-01996-2
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1038/s41380-023-01996-2
- Springer Nature Limited
This article is cited by
-
Cognitive impairment in multiple sclerosis: from phenomenology to neurobiological mechanisms
Journal of Neural Transmission (2024)
-
Advanced neuroimaging techniques to explore the effects of motor and cognitive rehabilitation in multiple sclerosis
Journal of Neurology (2024)
-
Depressive symptoms, anxiety and cognitive impairment: emerging evidence in multiple sclerosis
Translational Psychiatry (2023)
-
Multiple sclerosis lesions that impair memory map to a connected memory circuit
Journal of Neurology (2023)